Research & Education

MineRL is a Python package designed for sample-efficient reinforcement learning research, primarily within the Minecraft environment. It provides easy-to-use Gym environments and data access, making it suitable for training AI agents. The package has evolved through several versions, with v1.0 supporting OpenAI VPT models and the MineRL BASALT 2022 competition, featuring a new Minecraft version (1.12 -> 1.16.5), larger default resolution (64x64 -> 640x360), and a near-human action-space focused on GUI and mouse control. It requires Java JDK 8 for installation and can be integrated into projects much like any standard Gym environment for developing and testing AI models.

The MIT Deep Learning Book in PDF format is a valuable resource for anyone interested in the field of deep learning. Compiled by Janishar Ali, this repository offers the complete text by Ian Goodfellow, Yoshua Bengio, and Aaron Courville in a convenient PDF format. While the original book is available as a free HTML version, this project addresses the lack of an official PDF download by providing a 'flawless PDF version' suitable for printing. Users can access the entire book as a single PDF or download individual chapters. This resource is ideal for students, researchers, and practitioners seeking a comprehensive and portable reference for deep learning concepts.

Machine-Learning-in-Action is an open-source GitHub repository offering practical code implementations for various machine learning algorithms, all based on the popular book "Machine Learning in Action." Developed in Python 3, this resource is designed to help users understand and apply machine learning concepts through hands-on examples. The repository includes code for algorithms such as K-Nearest Neighbors, Decision Trees, Naive Bayes, Logistic Regression, Support Vector Machines, AdaBoost, and different regression techniques. It also provides datasets to accompany the code, making it a comprehensive learning resource for students and developers looking to deepen their understanding of machine learning.

makeyourownneuralnetwork is an open-source code repository hosted on GitHub, designed to accompany the 'Make Your Own Neural Network' book. It offers practical examples and implementations of neural network concepts, making it an invaluable resource for individuals looking to learn and understand the fundamentals of neural networks through hands-on coding. The repository includes various Jupyter Notebooks covering topics such as MNIST dataset handling, neural network implementation, loading custom images, and backquerying. This resource is ideal for students and self-learners who want to dive deep into the mechanics of neural networks and build their own models from scratch.

nn-from-scratch is an open-source project available on GitHub that provides a practical implementation of a neural network from scratch. This resource is designed for individuals looking to deepen their understanding of how neural networks function at a foundational level. The project includes Python code, an iPython notebook for interactive learning, and a related blog post that explains the concepts in detail. It covers the setup of a virtual environment and installation of necessary requirements, making it accessible for hands-on learning and experimentation with neural network architectures.

AILYZE is an AI-powered tool designed to streamline qualitative research processes. It automates the interviewing of respondents and efficiently extracts key themes and insights from various documents. The platform is capable of providing detailed answers to specific research questions, backed by relevant supporting quotes from the analyzed data. AILYZE supports multiple languages, making it a versatile solution for researchers working with diverse datasets. Its primary goal is to accelerate the research workflow, allowing users to gain insights more rapidly and efficiently.

Polyglot Media offers a suite of experimental AI language learning tools designed to assist both students and teachers. The platform features a Vocabulary Lesson Generator that creates comprehensive lessons with warm-up questions, definitions, example sentences, exercises, follow-up questions, writing prompts, and answer keys. Additionally, it provides a Vocabulary List Generator for quick vocabulary compilation and a Resource Finder to locate language learning materials. For English learners, there's a Grammar Lesson Generator complete with explanations, grammar tables, examples, exercises, and answer keys. The Reading Exercise Generator creates passages with definitions and comprehension questions, making it a versatile tool for language educators and learners alike. Users are advised to use these generators with a qualified teacher to verify the output.

Pop2Piano is an innovative AI tool designed to transform pop songs into unique piano covers. It bypasses the need for manual melody extraction by directly converting audio waveforms into piano arrangements. Users can customize the style of the generated piano cover, providing flexibility in musical expression. The tool also offers a dataset, making it a valuable resource for researchers and developers in the field of AI music. This platform showcases various samples, allowing users to experience the quality and versatility of its generation capabilities.

Tilde Research is a moonshot AI lab dedicated to advancing the frontier of intelligence through fundamental research. The lab focuses on three core areas: mechanistic interpretability, new AI architectures, and pretraining science. By building a foundational understanding of AI models, Tilde Research aims to contribute significantly to the broader AI research community. Their work is geared towards pushing the boundaries of what AI can achieve, emphasizing ambitious and innovative research goals rather than immediate commercial applications.

qikqiak.com is a comprehensive blog dedicated to exploring various cutting-edge technologies. It offers in-depth articles and resources on topics such as ChatGPT, containerization, Kubernetes, DevOps practices, Python, and Golang. The platform also delves into microservices architecture and other related technical subjects, providing valuable insights for developers and technology enthusiasts. The blog aims to keep its audience informed about the latest trends and best practices in the tech world, making complex concepts accessible through detailed explanations and practical examples. It serves as a knowledge hub for those looking to deepen their understanding and skills in these rapidly evolving domains.

AnyQuestions.ai is an AI-powered education platform designed to enhance the learning experience for students and educators. Users can upload various documents, and the platform leverages AI to generate comprehensive answers, complete with citations for accuracy and reliability. Beyond just answering questions, AnyQuestions.ai also creates AI-generated flashcards, interactive learning maps, and custom quizzes. These features are specifically designed to optimize study habits, reinforce understanding, and provide personalized learning paths, making it a versatile tool for both self-study and educational content creation.

The University of Science and Technology of Hanoi (USTH) is an international public university in Vietnam, founded under an intergovernmental agreement between Vietnam and France. USTH provides a global educational environment with programs taught in English, focusing on leading science and technology fields relevant to the 4.0 era. The university offers 20 undergraduate programs, 7 master's programs (including dual-degree options with French partners), and 7 doctoral programs, all with internationally recognized academic value. USTH emphasizes research and development, with a strong connection to industry and international collaborations, particularly with French institutions. Key highlights include a high employment or further study rate for graduates (97%) and a significant percentage of faculty holding doctoral degrees (84%).

LongVideoBench is an AI tool designed for evaluating and benchmarking long video models. It provides a platform to view and sort leaderboard data based on different criteria, including accuracy by duration groups and question categories. This allows researchers and developers to compare the performance of various AI models in understanding and analyzing long-form video content. The tool is particularly useful for those working on video analysis and understanding, offering a structured way to assess model capabilities and identify areas for improvement. Hosted on Hugging Face Spaces, it leverages a robust infrastructure for data display and sorting.

BRAID UK is a 3-year national research programme funded by the UKRI Arts and Humanities Research Council (AHRC), led by the University of Edinburgh in partnership with the Ada Lovelace Institute. It focuses on integrating Arts, Humanities, and Social Science research more fully into the Responsible AI ecosystem. The program aims to bridge the divides between academic, industry, policy, and regulatory work on responsible AI, with over £18 million in funding from 2022 to 2028. BRAID UK offers various projects including demonstrator projects, fellowships, scoping projects, and artist commissions, alongside opportunities for flexible impact funding and a Responsible AI Innovation course for SMEs.

10,000 Original AI Godfathers is presented as a digital time capsule, highlighting individuals who played significant roles in the foundational stages of artificial intelligence. This initiative aims to document and recognize researchers, scientists, engineers, investors, and dedicated AI users, collectively referred to as 'AI Godfathers.' The project seeks to preserve the legacy of these early contributors, offering insights into the diverse talents and efforts that shaped the nascent AI landscape. While the website content currently displays a parked domain message, the original concept suggests a focus on historical documentation and recognition within the AI community.

Autopilot-Notes is a comprehensive open-source knowledge base designed for systematic learning and mastery of autonomous driving technology. It covers a wide array of topics including foundational theories, hardware components, perception algorithms, localization techniques, planning strategies, and control systems. The repository also features in-depth analyses of solutions from leading manufacturers like Tesla, Baidu Apollo, and Huawei ADS. With daily updates on industry news and technical advancements, Autopilot-Notes serves as an invaluable resource for students and developers looking to stay current with the rapidly evolving field of autonomous vehicles. It emphasizes practical application with content on simulation, deployment, and optimization.

Chinese-number-gestures-recognition is an open-source Android application designed to recognize Chinese number gestures from 0 to 10 using a convolutional neural network (CNN). The project includes both the Android app code for real-time gesture recognition via a mobile camera and PC-side code for data processing and model training. It supports development environments like Python 3.6 with TensorFlow-gpu and Android Studio with TensorFlow Lite and OpenCV. The project also provides datasets, including raw images, data-augmented images, and compressed H5 datasets, along with pre-trained models. While the PC-trained models show high accuracy, the app's real-world performance can vary in complex environments.

BabelDuck is a beginner-friendly, highly customizable AI conversation practice application designed for language learners of all levels. It focuses on minimizing barriers and cognitive load for oral expression practice by offering features like multiple conversation management, custom system prompts, and streaming responses. Users can seek grammar, translation, or expression refinement suggestions from the AI without interrupting the current conversation, and even start sub-conversations for further discussion. The application supports voice input and response, integrates multiple LLM AI services with seamless switching, and stores data locally to ensure user privacy. It also provides individual preference settings for different conversations, a multilingual interface, and built-in tutorials.

Ellen AI is a smart AI companion with voice capabilities, offering users the opportunity to own and customize their own AI. The product includes full source code for the project and a chatbot template, along with a step-by-step video guide on creation and customization. Users can rebrand, resell, and improve the source code, making it a versatile tool for developers and entrepreneurs. It allows for the application of the same concept to build various AI products such as AI girlfriends, chatbot assistants, and extensions with voice. The product is available for a one-time purchase, granting perpetual ownership and access to the code immediately, with the video guide added shortly after purchase.

Nerd AI - Math Problem Solver is an AI-powered mobile application designed to be a comprehensive study companion for students. The app allows users to scan math problems and receive instant, step-by-step solutions, simplifying complex mathematical challenges. Beyond math, Nerd AI also offers assistance with various academic tasks, including writing support, language learning tools, and content summarization capabilities. This multi-functional approach aims to make learning more accessible and efficient, providing a versatile AI interface for students seeking help across different subjects. The tool is developed by Codeway, a company focused on AI-powered mobile app development.

DeepLearningTutorials is a valuable resource for anyone looking to delve into the field of deep learning. It provides detailed tutorial notes and corresponding Python code, specifically designed to introduce users to some of the most important deep learning algorithms. The tutorials emphasize learning multiple levels of representation and abstraction, crucial for processing data like images, sound, and text. A key feature is its integration with Theano, a Python library that simplifies deep learning model development and offers the capability to train models efficiently on a GPU. The project is hosted on GitHub, ensuring accessibility to its code and documentation, and encourages users to browse the tutorials online for an optimal learning experience.

deep-learning-from-scratch-4 is an open-source GitHub repository that serves as the support site for the book "Deep Learning from Scratch 4: Reinforcement Learning Edition" (O'Reilly Japan, 2022). It provides all the source code used in the book, organized by chapter, along with common utility code. The repository also offers Jupyter Notebook versions of the code, which can be run directly on cloud services like Google Colab, Kaggle Notebook, and Studio Lab for interactive learning. It supports Python 3.x and requires libraries such as NumPy, Matplotlib, OpenAI Gym, and DeZero (or PyTorch). The project is licensed under the MIT License, allowing for free commercial and non-commercial use, making it an excellent resource for students and developers exploring reinforcement learning.

MathGPT is an all-in-one AI math solver and homework helper designed to assist students with algebra, geometry, calculus, statistics, physics, accounting, and chemistry problems. Trusted by over 2 million students globally, it offers instant step-by-step solutions and unique AI-powered video explanations with engaging animations and diagrams. Users can upload homework via text, photos, or PDFs and receive personalized tutoring, including the ability to ask follow-up questions and create custom interactive quizzes. MathGPT also features graphing software and is available as a mobile app on iOS and Android, making it a comprehensive tool for understanding complex STEM concepts.

Know Center is a leading European innovation and research center specializing in trustworthy AI and data science. They focus on transforming the latest findings in data science and AI into concrete competitive advantages for businesses across industries like energy, healthcare, and manufacturing. The center conducts high-impact research in areas such as Data Management for AI, Data Privacy for AI, Methods & Algorithms for AI, Human-AI Interaction, and Fair AI. They also offer solutions for industrial AI, enterprise search, intelligent predictions, and AI strategy consulting, aiming to ensure data and technological sovereignty for Europe.